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How big data works? How we use it at FunCorp, and why it’s one of our most important tools

The latest report on big data from FunCorp discusses how an increased usage in smartphone users has also led to a rising demand for better mobile apps. These modern apps also use tremendous amounts of data, and thus, a robust management tool for analyzing and managing this data has become a necessity. This is where the use of Big Data comes in (this includes FunCorp too). The company develops apps and has relied heavily on big data. Read this report to learn how.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – October 2020

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Survey: 97% of Enterprises Seek to Accelerate Data Transformation, with Time Spent on Data Preparation A Barrier to Insights-Driven Decision-Making

Matillion, a leading provider of data transformation for cloud data warehouses (CDWs), and IDG Research have released findings of an IDG Research MarketPulse survey, “Gaining Time, Savings, and Insights via Cloud-Powered Data Transformation.” The research exposes the challenges companies face in leveraging enterprise data for analytics and identifies data portability, time-to-value, and self-service for business users as top requirements to address these challenges.

Three-quarters of US AG Businesses Increase 2020 Investment in AI

According to the findings from the latest annual 2020 RELX Emerging Tech Study, carried out by Proagrica parent RELX through IPSOS Mori, three in four – 76% – of US agriculture businesses have upped their spend on AI technologies in light of the pandemic, according to new research. Agriculture was second only to the insurance industry, which reported a marginally higher investment level of 78%, and of the eight sectors canvassed, agriculture spent the most on AI training.

Examining Architectures for the Post-Exascale Era

On Wednesday, November 11th, at 9am PST, a group of researchers and industry players on the leading edge of a new approach to HPC architecture join to explore the topic in a webinar titled, “Disaggregated System Architectures for Next Generation HPC and AI Workloads.”

Best of arXiv.org for AI, Machine Learning, and Deep Learning – September 2020

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

NVIDIA Advances Performance Records on AI Inference

NVIDIA today announced its AI computing platform has again smashed performance records in the latest round of MLPerf, extending its lead on the industry’s only independent benchmark measuring AI performance of hardware, software and services.

What’s Under the Hood of Neural Networks?

In this contributed article, Pippa Cole, Science Writer at the London Institute for Mathematical Sciences, discusses new research on artificial neural networks that has added to concerns that we don’t have a clue what machine learning algorithms are up to under the hood. She highlights a new study that focuses on two completely different deep-layered machines, and found that in fact they did exactly the same thing, which was a huge surprise. It’s a demonstration of how little we understand about the inner workings of deep-layered neural networks.

KDD 2020 Recognizes Winning Teams of 24th Annual KDD Cup

Across Four Competition Tracks, KDD Cup 2020 Tackled E-Commerce, Generative Adversarial Networks, Automatic Graph Representation Learning, Automated Machine Learning, Mobility-on-Demand (MoD) Platforms and Reinforcement Learning. KDD 2020, the premier interdisciplinary conference in data science, recognized over sixty winning teams in this year’s KDD Cup competition, which took place virtually Aug. 23-27, 2020.

KDD 2020 Celebrates Recipients of the SIGKDD Best Paper Awards

KDD 2020, the premier interdisciplinary conference in data science (which took place virtually Aug. 23-27, 2020), announced the recipients of the SIGKDD Best Paper Awards, recognizing papers presented at the annual SIGKDD conference that advanced the fundamental understanding of the field of knowledge discovery in data and data mining. Winners were selected from more than 2,000 papers initially submitted for consideration to be presented at the conference.